As software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications.

 The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect.

 Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient.

 By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.

What you will learn

• Master fundamental design principles and SOLID concepts
• Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python
• Explore architectural design patterns to architect robust systems
• Delve into concurrency and performance patterns for optimized code
• Discover distributed systems patterns for scalable applications
• Get up to speed with testing patterns to ensure code reliability and maintainability
• Develop modular, decoupled systems and manage dependencies efficiently

Who this book is for

 With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.